AI Articles and Analysis about Data collection

Data collection is the process of gathering and measuring information on targeted variables in an established systematic fashion, which then enables one to answer relevant questions and evaluate outcomes.

The Essentials of Wireless Technology Infrastructure for Automotive Manufacturers – with Don McGuire of Qualcomm@2x-min
Automation and robotics
Business intelligence and analytics
Customer analytics
Customer experience
Customer service
Data analysis
Data auditing
Data collection
Data entry
Data integration
Data management
Industrial automation
Knowledge management
Predictive analytics and forecasting
Process automation
Report generation

The Essentials of Wireless Technology Infrastructure for Automotive Manufacturers – with Don McGuire of Qualcomm

Due to technological advancements, automakers are uniquely positioned to benefit from an industry-wide transformation. Technology now allows a direct connection between car manufacturers and the customers who purchase those cars. Such a relationship has never before been possible in the history of the automotive industry.
Introducing GenAI Tools in the Enterprise – with Bhaskar Kalita of Quantiphi@2x
Automation and robotics
Business intelligence and analytics
Customer analytics
Customer service
Data auditing
Data collection
Data integration
Data management
Document processing
Intelligent assistant
Knowledge management
Large language models
Predictive analytics and forecasting
Process automation
Report generation

Introducing GenAI Tools in the Enterprise – with Bhaskar Kalita of Quantiphi

The introduction of GenAI tools in the enterprise signifies a significant shift in how businesses operate in the current technological landscape. These tools enhance various aspects of daily operations, from data analysis to decision-making processes. 
Future of Drug Targeting – Lilly @2x-1-min
Business intelligence and analytics
Customer experience
Customer service
Data analysis
Data auditing
Data collection
Data entry
Data integration
Data management
Discovery
Drug discovery
Ediscovery
Knowledge management
Machine learning infrastructure
Process automation
Research and development
Text analysis

The Future of Drug Targeting and Clinical Development with Generative AI Tools – with Ramesh Durvasula of Eli Lilly

Lily is a pharmaceutical giant with a legacy dating back to its founding in 1876 by Colonel Eli Lilly. The company engages more than 9600 employees in research and development, with clinical research conducted in more than 55 countries. As of 2022, the company clocked a revenue of $28,541.4 million and made a net income of $6,244.8 million. 
AI at General Motors@2x
Customer analytics
Data analysis
Data collection
Data integration
Data management
Natural Language Processing

Artificial Intelligence at General Motors

General Motors (GM) is an American multinational auto manufacturing company. For much of the 20th and 21st centuries, GM was the world’s largest motor vehicle manufacturer (since superseded by Toyota). The company produces a wide range of vehicle types, including cars, trucks, SUVs, and vans. Automotive brands owned by GM include Chevrolet, Buick, GMC, and Cadillac.
Beyond GPUs_ The Future of AI Computing with Perspectives from Intel, GE Research, Groq and Rain@2x
Business intelligence and analytics
Chemicals
Customer analytics
Consumer goods
Data analysis
Electronics
Data auditing
Heavy industry
Data collection
Manufacturing
Data entry
Tech
Data integration
Data management
Emergency management
Generative AI
Knowledge management
Logistics
model development
Predictive analytics and forecasting
Process automation
Supply chain management

Beyond GPUs: The Future of AI Computing with Perspectives from Intel, GE Research, Groq and Rain

Edge AI, also known as edge intelligence, is a term that refers to the convergence of two dynamic technological trends: edge computing and Artificial Intelligence. In today's tech landscape, the proliferation of mobile devices and advancements in communication technologies have fueled the rise of edge computing, which focuses on processing data at the network edge. 
AI at GSK@2x-min
Data collection
Data integration
Data management
Drug discovery
Knowledge management
Machine learning infrastructure
Research and development

Artificial Intelligence at GSK

GlaxoSmithKline (GSK) is a multinational pharmaceutical company headquartered in Brentford, UK. The company operates in over 150 countries. GSK offers a wide range of pharmaceutical products, vaccines, and consumer healthcare products, including over-the-counter medications, oral care and nutritional products.
AI at McKesson@2x-min
Automation and robotics
Business intelligence and analytics
Case management
Claim management
Customer analytics
Customer experience
Customer service
Data analysis
Data collection
Data entry
Data management
Drug discovery
Industrial automation
Industrial control system
Intelligent assistant
Knowledge management
Predictive analytics and forecasting
Process automation
Report generation
Research and development

Artificial Intelligence at McKesson – Three Use Cases

Founded in 1833 and headquartered in Irving, Texas, since 2019, McKesson is a leading distributor of pharmaceuticals and medical supplies. They also provide health information technology and care management tools.
Solving Logistics Challenges with AI – with Dr. Yossi Sheffi of MIT@2x-min (1)
Automation and robotics
Business intelligence and analytics
Case management
Customer service
Data auditing
Data collection
Data integration
Data management
Industrial automation
Industrial control system
Intelligent assistant
Knowledge management
Predictive analytics and forecasting
Social network analysis

Solving Logistics Challenges with AI – with Dr. Yossi Sheffi of MIT

AI is driving change across many industries, including logistics and manufacturing. Companies need to strike the right balance between automation and human intervention. This interaction represents a specific area of study known as human-automation interaction. 

Data collection

Data collection is the process of gathering and measuring information on targeted variables in an established systematic fashion, which then enables one to answer relevant questions and evaluate outcomes.